cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.stat-mech]Learning to grow: control of materials self-assembly using evolutionary reinforcement learning
    • [cs.AI]Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
    • [cs.AI]Collective Embedding-based Entity Alignment via Adaptive Features
    • [cs.AI]Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation
    • [cs.AI]Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft
    • [cs.AI]Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
    • [cs.AI]Uncovering Relations for Marketing Knowledge Representation
    • [cs.CL]A Survey on Document-level Machine Translation: Methods and Evaluation
    • [cs.CL]Chinese Named Entity Recognition Augmented with Lexicon Memory
    • [cs.CL]DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
    • [cs.CL]Generating summaries tailored to target characteristics
    • [cs.CL]MALA: Cross-Domain Dialogue Generation with Action Learning
    • [cs.CL]Multi-channel Reverse Dictionary Model
    • [cs.CL]Open Set Authorship Attribution toward Demystifying Victorian Periodicals
    • [cs.CL]PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
    • [cs.CL]The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task
    • [cs.CL]Towards an automatic recognition of mixed languages: The Ukrainian-Russian hybrid language Surzhyk
    • [cs.CR]Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
    • [cs.CV]A Cross-Modal Image Fusion Theory Guided by Human Visual Characteristics
    • [cs.CV]A Probabilistic approach for Learning Embeddings without Supervision
    • [cs.CV]A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning
    • [cs.CV]ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture
    • [cs.CV]Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game
    • [cs.CV]CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
    • [cs.CV]Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
    • [cs.CV]Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
    • [cs.CV]Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
    • [cs.CV]Detecting Adversarial Attacks On Audio-Visual Speech Recognition
    • [cs.CV]Fingerprint Spoof Detection: Temporal Analysis of Image Sequence
    • [cs.CV]FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
    • [cs.CV]GlobalTrack: A Simple and Strong Baseline for Long-term Tracking
    • [cs.CV]Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
    • [cs.CV]Learning from Synthetic Animals
    • [cs.CV]Lightweight and Robust Representation of Economic Scales from Satellite Imagery
    • [cs.CV]M$^2$: Meshed-Memory Transformer for Image Captioning
    • [cs.CV]One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block
    • [cs.CV]P-CapsNets: a General Form of Convolutional Neural Networks
    • [cs.CV]Progressive VAE Training on Highly Sparse and Imbalanced Data
    • [cs.CV]Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
    • [cs.CV]Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss
    • [cs.CV]Self-Attention Network for Skeleton-based Human Action Recognition
    • [cs.CV]SynSin: End-to-end View Synthesis from a Single Image
    • [cs.CV]Towards Robust Learning with Different Label Noise Distributions
    • [cs.CV]ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
    • [cs.CV]s-DRN: Stabilized Developmental Resonance Network
    • [cs.CY]Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
    • [cs.CY]Why we need an AI-resilient society
    • [cs.DC]Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows
    • [cs.DC]Decentralized Runtime Verification for LTL Properties Using Global Clock
    • [cs.DC]Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development
    • [cs.DC]HDOT — an Approach Towards Productive Programming of Hybrid Applications
    • [cs.DC]Multi-Criteria-based Dynamic User Behaviour Aware Resource Allocation in Fog Computing
    • [cs.DC]Scalable Pattern Matching in Metadata Graphs via Constraint Checking
    • [cs.DC]Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments
    • [cs.ET]Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks
    • [cs.ET]Three dimensional waveguide-interconnects for scalable integration of photonic neural networks
    • [cs.HC]A Promising Method for Touch-typing Keyboard Rendering
    • [cs.HC]Conversational Agents for Insurance Companies: From Theory to Practice
    • [cs.HC]How the Mechanical Properties and Thickness of Glass Affect TPaD Performance
    • [cs.HC]Visualizing and Analyzing Entity Activity on the Bitcoin Network
    • [cs.IR]Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking
    • [cs.IR]Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
    • [cs.IR]Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems
    • [cs.IR]Semantic integration of disease-specific knowledge
    • [cs.IT]5G Positioning and Mapping with Diffuse Multipath
    • [cs.IT]Enumeration of Minimum Hamming Weight Polar Codewords with Sublinear Complexity
    • [cs.IT]Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding
    • [cs.LG]Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
    • [cs.LG]Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation
    • [cs.LG]Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
    • [cs.LG]CoulGAT: An Experiment on Interpretability of Graph Attention Networks
    • [cs.LG]Distributional Reinforcement Learning for Energy-Based Sequential Models
    • [cs.LG]Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
    • [cs.LG]Fair Contextual Multi-Armed Bandits: Theory and Experiments
    • [cs.LG]Feature engineering workflow for activity recognition from synchronized inertial measurement units
    • [cs.LG]Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks
    • [cs.LG]HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
    • [cs.LG]Incremental ELMVIS for unsupervised learning
    • [cs.LG]Interleaved Composite Quantization for High-Dimensional Similarity Search
    • [cs.LG]Kernel-Based Ensemble Learning in Python
    • [cs.LG]Learning from i.i.d. data under model miss-specification
    • [cs.LG]On the Bias-Variance Tradeoff: Textbooks Need an Update
    • [cs.LG]Preventing Information Leakage with Neural Architecture Search
    • [cs.LG]Provable Non-Convex Optimization and Algorithm Validation via Submodularity
    • [cs.LG]RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
    • [cs.LG]Relational Mimic for Visual Adversarial Imitation Learning
    • [cs.LG]Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior
    • [cs.LG]TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
    • [cs.LG]srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
    • [cs.MA]Inverse Graph Learning over Optimization Networks
    • [cs.NE]Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
    • [cs.RO]A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach
    • [cs.RO]A Data-driven, Falsification-based Model of Human Driver Behavior
    • [cs.RO]A Tip Mount for Carrying Payloads using Soft Growing Robots
    • [cs.RO]Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
    • [cs.RO]RF Backscatter-based State Estimation for Micro Aerial Vehicles
    • [cs.SI]Competitive Contagion with Sparse Seeding
    • [cs.SI]Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover
    • [cs.SI]Multi-Channel Graph Convolutional Networks
    • [cs.SI]Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
    • [eess.AS]Ene-to-end training of time domain audio separation and recognition
    • [eess.IV]Adaptive Densely Connected Super-Resolution Reconstruction
    • [eess.IV]Computationally Efficient Neural Image Compression
    • [eess.IV]Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline
    • [eess.IV]Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
    • [eess.IV]MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
    • [eess.IV]The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
    • [eess.IV]Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
    • [eess.SP]Impact of Backward Crosstalk in 2x2 MIMO Transmitters on NMSE and Spectral Efficiency
    • [eess.SP]Multiple Antenna Multicast Transmission Assisted by Reconfigurable Intelligent Surfaces
    • [eess.SP]Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
    • [eess.SY]Kalman Filter Tuning with Bayesian Optimization
    • [math.NA]Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares
    • [math.OC]Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions
    • [math.OC]Optimal Perimeter Guarding with Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms
    • [math.OC]Primal-dual optimization methods for large-scale and distributed data analytics
    • [math.ST]Mean skewness measures
    • [math.ST]Method of moments estimators for the extremal index of a stationary time series
    • [math.ST]Randomization empirical processes
    • [math.ST]Sequential change point tests based on U-statistics
    • [physics.chem-ph]Neural networks and kernel ridge regression for excited states dynamics of CH$_2$NH$_2^+$: From single-state to multi-state representations and multi-property machine learning models
    • [physics.soc-ph]Influential spreaders for recurrent epidemics on networks
    • [q-bio.QM]Clusters in Explanation Space: Inferring disease subtypes from model explanations
    • [quant-ph]Capacity Bounds for Quantum Communications through Quantum Trajectories
    • [quant-ph]General Mixed State Quantum Data Compression with and without Entanglement Assistance
    • [quant-ph]Transfer learning in hybrid classical-quantum neural networks
    • [stat.AP]A generalization of Ramos-Louzada distribution: Properties and estimation
    • [stat.AP]A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures
    • [stat.AP]Cluster Analysis of High-Dimensional scRNA Sequencing Data
    • [stat.AP]Estimating the probability of accidental mark locations on a shoe sole
    • [stat.AP]Interpreting Missing Data Patterns in the ICU
    • [stat.AP]Statistical Analysis of the Phosphate Data of the World Ocean Database 2013
    • [stat.AP]Teaching Design of Experiments using Hasse diagrams
    • [stat.ME]A Bivariate Dead Band Process Adjustment Policy
    • [stat.ME]Multidimensional molecular changes-environment interaction analysis for disease outcomes
    • [stat.ML]Analytic expressions for the output evolution of a deep neural network
    • [stat.ML]Bayesian Topological Learning for Brain State Classification
    • [stat.ML]Benchmarking the Neural Linear Model for Regression
    • [stat.ML]Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space
    • [stat.ML]Generalized Residual Ratio Thresholding
    • [stat.ML]The Brier Score under Administrative Censoring: Problems and Solutions
    • [stat.ML]Tree pyramidal adaptive importance sampling

    ·····································

    • [cond-mat.stat-mech]Learning to grow: control of materials self-assembly using evolutionary reinforcement learning
    Stephen Whitelam, Isaac Tamblyn
    http://arxiv.org/abs/1912.08333v1

    • [cs.AI]Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
    Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
    http://arxiv.org/abs/1912.08388v1

    • [cs.AI]Collective Embedding-based Entity Alignment via Adaptive Features
    Wexin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin
    http://arxiv.org/abs/1912.08404v1

    • [cs.AI]Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation
    Marcio Moreno, Daniel Civitarese, Rafael Brandao, Renato Cerqueira
    http://arxiv.org/abs/1912.08740v1

    • [cs.AI]Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft
    Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
    http://arxiv.org/abs/1912.08664v1

    • [cs.AI]Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
    Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
    http://arxiv.org/abs/1912.08578v1

    • [cs.AI]Uncovering Relations for Marketing Knowledge Representation
    Somak Aditya, Atanu Sinha
    http://arxiv.org/abs/1912.08374v1

    • [cs.CL]A Survey on Document-level Machine Translation: Methods and Evaluation
    Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari
    http://arxiv.org/abs/1912.08494v1

    • [cs.CL]Chinese Named Entity Recognition Augmented with Lexicon Memory
    Yi Zhou, Xiaoqing Zheng, Xuanjing Huang
    http://arxiv.org/abs/1912.08282v1

    • [cs.CL]DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
    Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou
    http://arxiv.org/abs/1912.08360v1

    • [cs.CL]Generating summaries tailored to target characteristics
    Kushal Chawla, Hrituraj Singh, Arijit Pramanik, Mithlesh Kumar, Balaji Vasan Srinivasan
    http://arxiv.org/abs/1912.08492v1

    • [cs.CL]MALA: Cross-Domain Dialogue Generation with Action Learning
    Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
    http://arxiv.org/abs/1912.08442v1

    • [cs.CL]Multi-channel Reverse Dictionary Model
    Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
    http://arxiv.org/abs/1912.08441v1

    • [cs.CL]Open Set Authorship Attribution toward Demystifying Victorian Periodicals
    Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar
    http://arxiv.org/abs/1912.08259v1

    • [cs.CL]PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
    Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu
    http://arxiv.org/abs/1912.08777v1

    • [cs.CL]The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task
    Jefferson A. Peña Torres, Raul Ernesto Gutierrez, Victor A. Bucheli, Fabio A. Gonzalez O
    http://arxiv.org/abs/1912.08290v1

    • [cs.CL]Towards an automatic recognition of mixed languages: The Ukrainian-Russian hybrid language Surzhyk
    Nataliya Sira, Giorgio Maria Di Nunzio, Viviana Nosilia
    http://arxiv.org/abs/1912.08582v1

    • [cs.CR]Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
    Yaxing Chen, Qinghua Zheng, Dan Liu, Zheng Yan, Wenhai Sun, Ning Zhang, Wenjing Lou, Y. Thomas Hou
    http://arxiv.org/abs/1912.08454v1

    • [cs.CV]A Cross-Modal Image Fusion Theory Guided by Human Visual Characteristics
    Aiqing Fang, Xinbo Zhao, Yanning Zhang
    http://arxiv.org/abs/1912.08577v1

    • [cs.CV]A Probabilistic approach for Learning Embeddings without Supervision
    Ujjal Kr Dutta, Mehrtash Harandi, Chandra Sekhar Chellu
    http://arxiv.org/abs/1912.08275v1

    • [cs.CV]A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning
    Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
    http://arxiv.org/abs/1912.08644v1

    • [cs.CV]ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture
    Sena Kiciroglu, Helge Rhodin, Sudipta Sinha, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/1912.08568v1

    • [cs.CV]Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game
    Luca Weihs, Aniruddha Kembhavi, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
    http://arxiv.org/abs/1912.08195v2

    • [cs.CV]CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
    Jiadong Liang, Wenjie Pei, Feng Lu
    http://arxiv.org/abs/1912.08562v1

    • [cs.CV]Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
    Da Chen, Feng Mao, Mingli Song, Yuan He, Xiang Wu, Jinqiao Wang, Wenbin Li, Yongliang Yang, Hui Xue
    http://arxiv.org/abs/1912.08395v1

    • [cs.CV]Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
    Jiayu Yang, Wei Mao, Jose M. Alvarez, Miaomiao Liu
    http://arxiv.org/abs/1912.08329v1

    • [cs.CV]Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
    Tianrui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki, Tianhong Dai
    http://arxiv.org/abs/1912.08661v1

    • [cs.CV]Detecting Adversarial Attacks On Audio-Visual Speech Recognition
    Pingchuan Ma, Stavros Petridis, Maja Pantic
    http://arxiv.org/abs/1912.08639v1

    • [cs.CV]Fingerprint Spoof Detection: Temporal Analysis of Image Sequence
    Tarang Chugh, Anil K. Jain
    http://arxiv.org/abs/1912.08240v1

    • [cs.CV]FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
    Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof
    http://arxiv.org/abs/1912.08487v1

    • [cs.CV]GlobalTrack: A Simple and Strong Baseline for Long-term Tracking
    Lianghua Huang, Xin Zhao, Kaiqi Huang
    http://arxiv.org/abs/1912.08531v1

    • [cs.CV]Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
    Bhavan Vasu, Chengjiang Long
    http://arxiv.org/abs/1912.08387v1

    • [cs.CV]Learning from Synthetic Animals
    Jiteng Mu, Weichao Qiu, Gregory Hager, Alan Yuille
    http://arxiv.org/abs/1912.08265v1

    • [cs.CV]Lightweight and Robust Representation of Economic Scales from Satellite Imagery
    Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha
    http://arxiv.org/abs/1912.08197v1

    • [cs.CV]M$^2$: Meshed-Memory Transformer for Image Captioning
    Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara
    http://arxiv.org/abs/1912.08226v1

    • [cs.CV]One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block
    Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang
    http://arxiv.org/abs/1912.08642v1

    • [cs.CV]P-CapsNets: a General Form of Convolutional Neural Networks
    Zhenhua Chen, Xiwen Li, Chuhua Wang, David Crandall
    http://arxiv.org/abs/1912.08367v1

    • [cs.CV]Progressive VAE Training on Highly Sparse and Imbalanced Data
    Dmitry Utyamishev, Inna Partin-Vaisband
    http://arxiv.org/abs/1912.08283v1

    • [cs.CV]Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
    Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Chetan Singh Thakur
    http://arxiv.org/abs/1912.08519v1

    • [cs.CV]Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss
    Jia Li, Jinming Su, Changqun Xia, Yonghong Tian
    http://arxiv.org/abs/1912.08393v1

    • [cs.CV]Self-Attention Network for Skeleton-based Human Action Recognition
    Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh
    http://arxiv.org/abs/1912.08435v1

    • [cs.CV]SynSin: End-to-end View Synthesis from a Single Image
    Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson
    http://arxiv.org/abs/1912.08804v1

    • [cs.CV]Towards Robust Learning with Different Label Noise Distributions
    Diego Ortego, Eric Arazo, Paul Albert, Noel E. O’Connor, Kevin McGuinness
    http://arxiv.org/abs/1912.08741v1

    • [cs.CV]ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
    Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
    http://arxiv.org/abs/1912.08263v1

    • [cs.CV]s-DRN: Stabilized Developmental Resonance Network
    In-Ug Yoon, Ue-Hwan Kim, Jong-Hwan
    http://arxiv.org/abs/1912.08541v1

    • [cs.CY]Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
    R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang
    http://arxiv.org/abs/1912.08320v1

    • [cs.CY]Why we need an AI-resilient society
    Thomas Bartz-Beielstein
    http://arxiv.org/abs/1912.08786v1

    • [cs.DC]Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows
    Mutaz Barika, Saurabh Garg, Rajiv Ranjan
    http://arxiv.org/abs/1912.08397v1

    • [cs.DC]Decentralized Runtime Verification for LTL Properties Using Global Clock
    M. Ali Dorosty, Fathiyeh Faghih, Ehsan Khamespanah
    http://arxiv.org/abs/1912.07365v2

    • [cs.DC]Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development
    Andrea Hamm, Alexander Willner, Ina Schieferdecker
    http://arxiv.org/abs/1912.08530v1

    • [cs.DC]HDOT — an Approach Towards Productive Programming of Hybrid Applications
    Jan Ciesko, Pedro J. Martínez-Ferrer, Raúl Peñacoba Veigas, Xavier Teruel, Vicenç Beltran
    http://arxiv.org/abs/1912.08464v1

    • [cs.DC]Multi-Criteria-based Dynamic User Behaviour Aware Resource Allocation in Fog Computing
    Ranesh Kumar Naha, Saurabh Garg
    http://arxiv.org/abs/1912.08319v1

    • [cs.DC]Scalable Pattern Matching in Metadata Graphs via Constraint Checking
    Tahsin Reza, Hassan Halawa, Matei Ripeanu, Geoffrey Sanders, Roger Pearce
    http://arxiv.org/abs/1912.08453v1

    • [cs.DC]Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments
    Mutaz Barika, Saurabh Garg, Andrew Chan, Rodrigo N. Calheiros
    http://arxiv.org/abs/1912.08392v1

    • [cs.ET]Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks
    Fan Zhang, Miao Hu
    http://arxiv.org/abs/1912.08716v1

    • [cs.ET]Three dimensional waveguide-interconnects for scalable integration of photonic neural networks
    Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner
    http://arxiv.org/abs/1912.08203v1

    • [cs.HC]A Promising Method for Touch-typing Keyboard Rendering
    Heng Xu, Roberta L. Klatzky, Michael A. Peshkin, J. Edward Colgate
    http://arxiv.org/abs/1912.08381v1

    • [cs.HC]Conversational Agents for Insurance Companies: From Theory to Practice
    Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
    http://arxiv.org/abs/1912.08473v1

    • [cs.HC]How the Mechanical Properties and Thickness of Glass Affect TPaD Performance
    Heng Xu, Michael A. Peshkin, J. Edward Colgate
    http://arxiv.org/abs/1912.08377v1

    • [cs.HC]Visualizing and Analyzing Entity Activity on the Bitcoin Network
    Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck, Petra Isenberg
    http://arxiv.org/abs/1912.08101v2

    • [cs.IR]Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking
    Gustavo Penha, Claudia Hauff
    http://arxiv.org/abs/1912.08555v1

    • [cs.IR]Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
    Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang
    http://arxiv.org/abs/1912.08422v1

    • [cs.IR]Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems
    Andrew Collins, Joeran Beel
    http://arxiv.org/abs/1912.08694v1

    • [cs.IR]Semantic integration of disease-specific knowledge
    Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras
    http://arxiv.org/abs/1912.08633v1

    • [cs.IT]5G Positioning and Mapping with Diffuse Multipath
    Fuxi Wen, Josef Kulmer, Klaus Witrisal, Henk Wymeersch
    http://arxiv.org/abs/1912.08697v1

    • [cs.IT]Enumeration of Minimum Hamming Weight Polar Codewords with Sublinear Complexity
    Fengyi Cheng, Aijun Liu, Jincheng Dai, Kai Niu, Xiaohu Liang
    http://arxiv.org/abs/1912.08356v1

    • [cs.IT]Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding
    Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai
    http://arxiv.org/abs/1912.08520v1

    • [cs.LG]Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
    Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal Behbahani, Anil Anthony Bharath
    http://arxiv.org/abs/1912.08324v1

    • [cs.LG]Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation
    Anton Akusok, Emil Eirola
    http://arxiv.org/abs/1912.08616v1

    • [cs.LG]Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
    Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh
    http://arxiv.org/abs/1912.08281v1

    • [cs.LG]CoulGAT: An Experiment on Interpretability of Graph Attention Networks
    Burc Gokden
    http://arxiv.org/abs/1912.08409v1

    • [cs.LG]Distributional Reinforcement Learning for Energy-Based Sequential Models
    Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman
    http://arxiv.org/abs/1912.08517v1

    • [cs.LG]Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
    Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
    http://arxiv.org/abs/1912.08795v1

    • [cs.LG]Fair Contextual Multi-Armed Bandits: Theory and Experiments
    Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
    http://arxiv.org/abs/1912.08055v1

    • [cs.LG]Feature engineering workflow for activity recognition from synchronized inertial measurement units
    Andreas W. Kempa-Liehr, Jonty Oram, Andrew Wong, Mark Finch, Thor Besier
    http://arxiv.org/abs/1912.08394v1

    • [cs.LG]Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks
    Simon Biland, Vinicius C. Azevedo, Byungsoo Kim, Barbara Solenthaler
    http://arxiv.org/abs/1912.08776v1

    • [cs.LG]HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
    Geunseob Oh, Jean-Sebastien Valois
    http://arxiv.org/abs/1912.08111v2

    • [cs.LG]Incremental ELMVIS for unsupervised learning
    Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
    http://arxiv.org/abs/1912.08638v1

    • [cs.LG]Interleaved Composite Quantization for High-Dimensional Similarity Search
    Soroosh Khoram, Stephen J Wright, Jing Li
    http://arxiv.org/abs/1912.08756v1

    • [cs.LG]Kernel-Based Ensemble Learning in Python
    Benjamin Guedj, Bhargav Srinivasa Desikan
    http://arxiv.org/abs/1912.08311v1

    • [cs.LG]Learning from i.i.d. data under model miss-specification
    Andres R. Masegosa
    http://arxiv.org/abs/1912.08335v1

    • [cs.LG]On the Bias-Variance Tradeoff: Textbooks Need an Update
    Brady Neal
    http://arxiv.org/abs/1912.08286v1

    • [cs.LG]Preventing Information Leakage with Neural Architecture Search
    Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Zeyu Liu, Quanshi Zhang, Bo Li
    http://arxiv.org/abs/1912.08421v1

    • [cs.LG]Provable Non-Convex Optimization and Algorithm Validation via Submodularity
    Yatao An Bian
    http://arxiv.org/abs/1912.08495v1

    • [cs.LG]RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
    Varun Nair, Javier Fuentes Alonso, Tony Beltramelli
    http://arxiv.org/abs/1912.08766v1

    • [cs.LG]Relational Mimic for Visual Adversarial Imitation Learning
    Lionel Blondé, Yichuan Charlie Tang, Jian Zhang, Russ Webb
    http://arxiv.org/abs/1912.08444v1

    • [cs.LG]Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior
    Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
    http://arxiv.org/abs/1912.08521v1

    • [cs.LG]TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
    Soroosh Khoram, Jing Li
    http://arxiv.org/abs/1912.08792v1

    • [cs.LG]srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
    Alexander L. Hayes
    http://arxiv.org/abs/1912.08198v1

    • [cs.MA]Inverse Graph Learning over Optimization Networks
    Vincenzo Matta, Augusto Santos, Ali H. Sayed
    http://arxiv.org/abs/1912.08465v1

    • [cs.NE]Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
    Piotr S. Maciąg, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser
    http://arxiv.org/abs/1912.08785v1

    • [cs.RO]A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach
    Nathan K Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein Abbass
    http://arxiv.org/abs/1912.07796v2

    • [cs.RO]A Data-driven, Falsification-based Model of Human Driver Behavior
    Nauman Sohani, Geunseob Oh, Xinpeng Wang
    http://arxiv.org/abs/1912.08361v1

    • [cs.RO]A Tip Mount for Carrying Payloads using Soft Growing Robots
    Sang-Goo Jeong, Margaret M. Coad, Laura H. Blumenschein, Ming Luo, Usman Mehmood, Ji Hun Kim, Allison M. Okamura, Jee-Hwan Ryu
    http://arxiv.org/abs/1912.08297v1

    • [cs.RO]Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
    Yang Guan, Yangang Ren, Shengbo Eben Li, Qi Sun, Laiquan Luo, Koji Taguchi, Keqiang Li
    http://arxiv.org/abs/1912.08410v1

    • [cs.RO]RF Backscatter-based State Estimation for Micro Aerial Vehicles
    Shengkai Zhang, Wei Wang, Ning Zhang, Tao Jiang
    http://arxiv.org/abs/1912.08655v1

    • [cs.SI]Competitive Contagion with Sparse Seeding
    Milad Siami, Amir Ajorlou, Ali Jadbabaie
    http://arxiv.org/abs/1912.08243v1

    • [cs.SI]Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover
    Xiangnan Feng, Wei Wei, Jiannan Wang, Xue Liu, Zhiming Zheng
    http://arxiv.org/abs/1912.08559v1

    • [cs.SI]Multi-Channel Graph Convolutional Networks
    Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
    http://arxiv.org/abs/1912.08306v1

    • [cs.SI]Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
    Yuxiang Ren, Lin Meng, Jiawei Zhang
    http://arxiv.org/abs/1912.08372v1

    • [eess.AS]Ene-to-end training of time domain audio separation and recognition
    Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Boeddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach
    http://arxiv.org/abs/1912.08462v1

    • [eess.IV]Adaptive Densely Connected Super-Resolution Reconstruction
    Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li
    http://arxiv.org/abs/1912.08002v2

    • [eess.IV]Computationally Efficient Neural Image Compression
    Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé
    http://arxiv.org/abs/1912.08771v1

    • [eess.IV]Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline
    Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent Ribas, Miguel A. González Ballester
    http://arxiv.org/abs/1912.08679v1

    • [eess.IV]Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
    Jeya Maria Jose V., Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel
    http://arxiv.org/abs/1912.08364v1

    • [eess.IV]MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
    Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Kyrre Eeg Emblem, Line Brennhaug Nilsen, Cathrine Saxhaug, Anna Latysheva, Kari Dolven Jacobsen, Åslaug Helland, Greg Zaharchuk, Daniel Rubin
    http://arxiv.org/abs/1912.08775v1

    • [eess.IV]The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
    YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang
    http://arxiv.org/abs/1912.08375v1

    • [eess.IV]Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
    Chen Wu, Hongruixuan Chen, Bo Do, Liangpei Zhang
    http://arxiv.org/abs/1912.08628v1

    • [eess.SP]Impact of Backward Crosstalk in 2x2 MIMO Transmitters on NMSE and Spectral Efficiency
    Peter Händel, Özlem Tugfe Demir, Emil Björnson, Daniel Rönnow
    http://arxiv.org/abs/1912.08528v1

    • [eess.SP]Multiple Antenna Multicast Transmission Assisted by Reconfigurable Intelligent Surfaces
    Linsong Du, Jianhui Ma, Qinpeng Liang, Youxi Tang
    http://arxiv.org/abs/1912.07960v1

    • [eess.SP]Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
    Karl Granström, Lennart Svensson, Yuxuan Xia, Jason Williams, Ángel F. García-Fernández
    http://arxiv.org/abs/1912.08718v1

    • [eess.SY]Kalman Filter Tuning with Bayesian Optimization
    Zhaozhong Chen, Nisar Ahmed, Simon Julier, Christoffer Heckman
    http://arxiv.org/abs/1912.08601v1

    • [math.NA]Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares
    M. A. Iwen, D. Needell, E. Rebrova, A. Zare
    http://arxiv.org/abs/1912.08294v1

    • [math.OC]Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions
    Orlando Romero, Mouhacine Benosman
    http://arxiv.org/abs/1912.08342v1

    • [math.OC]Optimal Perimeter Guarding with Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms
    Si Wei Feng, Jingjin Yu
    http://arxiv.org/abs/1912.08591v1

    • [math.OC]Primal-dual optimization methods for large-scale and distributed data analytics
    Dusan Jakovetic, Dragana Bajovic, Joao Xavier, Jose M. F. Moura
    http://arxiv.org/abs/1912.08546v1

    • [math.ST]Mean skewness measures
    Chandima N. P. G. Arachchige, Luke A. Prendergast
    http://arxiv.org/abs/1912.06996v2

    • [math.ST]Method of moments estimators for the extremal index of a stationary time series
    Axel Bücher, Tobias Jennessen
    http://arxiv.org/abs/1912.08584v1

    • [math.ST]Randomization empirical processes
    Dennis Dobler
    http://arxiv.org/abs/1912.08233v1

    • [math.ST]Sequential change point tests based on U-statistics
    Claudia Kirch, Christina Stoehr
    http://arxiv.org/abs/1912.08580v1

    • [physics.chem-ph]Neural networks and kernel ridge regression for excited states dynamics of CH$_2$NH$_2^+$: From single-state to multi-state representations and multi-property machine learning models
    Julia Westermayr, Felix A. Faber, Anders S. Christensen, O. Anatole von Lilienfeld, Philipp Marquetand
    http://arxiv.org/abs/1912.08484v1

    • [physics.soc-ph]Influential spreaders for recurrent epidemics on networks
    Gaël Poux-Médard, Romualdo Pastor-Satorras, Claudio Castellano
    http://arxiv.org/abs/1912.08459v1

    • [q-bio.QM]Clusters in Explanation Space: Inferring disease subtypes from model explanations
    Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis
    http://arxiv.org/abs/1912.08755v1

    • [quant-ph]Capacity Bounds for Quantum Communications through Quantum Trajectories
    Angela Sara Cacciapuoti, Marcello Caleffi
    http://arxiv.org/abs/1912.08575v1

    • [quant-ph]General Mixed State Quantum Data Compression with and without Entanglement Assistance
    Zahra Baghali Khanian, Andreas Winter
    http://arxiv.org/abs/1912.08506v1

    • [quant-ph]Transfer learning in hybrid classical-quantum neural networks
    Andrea Mari, Thomas R. Bromley, Josh Izaac, Maria Schuld, Nathan Killoran
    http://arxiv.org/abs/1912.08278v1

    • [stat.AP]A generalization of Ramos-Louzada distribution: Properties and estimation
    Hazem Al-Mofleh, Ahmed Z. Afify
    http://arxiv.org/abs/1912.08799v1

    • [stat.AP]A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures
    Antonio Quintero-Rincon, Carlos D’Giano, Hadj Batatia
    http://arxiv.org/abs/1912.08359v1

    • [stat.AP]Cluster Analysis of High-Dimensional scRNA Sequencing Data
    Jiawei Long, Yu Xia
    http://arxiv.org/abs/1912.08400v1

    • [stat.AP]Estimating the probability of accidental mark locations on a shoe sole
    Naomi Kaplan Damary, Micha Mandel, Yoram Yekutieli, Sarena Wiesner, Yaron Shor
    http://arxiv.org/abs/1912.08272v1

    • [stat.AP]Interpreting Missing Data Patterns in the ICU
    Robert O’Shea
    http://arxiv.org/abs/1912.08612v1

    • [stat.AP]Statistical Analysis of the Phosphate Data of the World Ocean Database 2013
    Joscha Reimer
    http://arxiv.org/abs/1912.07384v1

    • [stat.AP]Teaching Design of Experiments using Hasse diagrams
    Hans-Michael Kaltenbach
    http://arxiv.org/abs/1912.08567v1

    • [stat.ME]A Bivariate Dead Band Process Adjustment Policy
    Enrique del Castillo, Rainer Goeb
    http://arxiv.org/abs/1912.08337v1

    • [stat.ME]Multidimensional molecular changes-environment interaction analysis for disease outcomes
    Yaqing Xu, Mengyun Wu, Shuangge Ma
    http://arxiv.org/abs/1912.08370v1

    • [stat.ML]Analytic expressions for the output evolution of a deep neural network
    Anastasia Borovykh
    http://arxiv.org/abs/1912.08526v1

    • [stat.ML]Bayesian Topological Learning for Brain State Classification
    Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas
    http://arxiv.org/abs/1912.08348v1

    • [stat.ML]Benchmarking the Neural Linear Model for Regression
    Sebastian W. Ober, Carl Edward Rasmussen
    http://arxiv.org/abs/1912.08416v1

    • [stat.ML]Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space
    Hwiyoung Lee, Vic Patrangenaru
    http://arxiv.org/abs/1912.08202v1

    • [stat.ML]Generalized Residual Ratio Thresholding
    Sreejith Kallummil, Sheetal Kalyani
    http://arxiv.org/abs/1912.08637v1

    • [stat.ML]The Brier Score under Administrative Censoring: Problems and Solutions
    Håvard Kvamme, Ørnulf Borgan
    http://arxiv.org/abs/1912.08581v1

    • [stat.ML]Tree pyramidal adaptive importance sampling
    Javier Felip, Nilesh Ahuja, Omesh Tickoo
    http://arxiv.org/abs/1912.08434v1